Stereo-Psychopharmacology: The Case of Citalopram and Escitalopram

Difference in patterns of prescribing antidepressants known for their weight-modulating and cardiovascular side effects for patients with obesity compared to patients with normal weight

BACKGROUND

Patients with depression and comorbid obesity may be more prone to weight modulating and cardiovascular side effects of selected antidepressants (AD). It is important to ascertain whether these AD prescriptions differ by patient weight status.

METHODS

Canadian Primary Care Sentinel Surveillance Network (CPCSSN) electronic medical records were used. Participants were adults with depression prescribed an AD in 2000-2016, with weight categories established before the first prescription. Logistic regression and mixed effects models were applied to examine associations between obesity and AD prescribing, adjusted for sex, age, and comorbidities. Machine learning algorithm random forest (RF) was used to evaluate the importance of weight in predicting prescribing patterns.

RESULTS

Of 26,571 participants, 72.4% were women, mean age was 38.9 years (standard deviation (SD)=14.2) and mean BMI 27.0 kg/m² (SD = 6.5); 9.5% had ≥ 1 comorbidity. Patients with obesity, compared to normal weight patients, were more likely to receive bupropion (adjusted odds ratio (aOR) 1.24, 95%CI: 1.09,1.42), fluoxetine (aOR 1.14, 95%CI: 0.97,1.34), and amitriptyline (aOR 1.13, 95%CI: 0.93,1.36), and less likely to receive mirtazapine (aOR 0.55, 95%CI: 0.44,0.68) and escitalopram (aOR 0.88, 95%CI: 0.80, 0.97). RF analysis showed that weight was among the most important predictors of prescribing patterns, equivalent to age and more important than sex.

CONCLUSIONS

AD prescribing patterns for patients with obesity appear to be different for selected AD types, including AD known for their weight-modulating and cardiovascular side effects. Longitudinal studies are needed to examine whether these prescribing patterns are associated with significant health outcomes.

Protective effects of antidepressant citalopram against abnormal APP processing and amyloid beta-induced mitochondrial dynamics, biogenesis, mitophagy and synaptic toxicities in Alzheimer's disease

The purpose of this study is to study the neuroprotective role of selective serotonin reuptake inhibitor (SSRI), citalopram, against Alzheimer's disease (AD). Multiple SSRIs, including citalopram, are reported to treat patients with depression, anxiety and AD. However, their protective cellular mechanisms have not been studied completely. In the current study, we investigated the protective role of citalopram against impaired mitochondrial dynamics, defective mitochondrial biogenesis, defective mitophagy and synaptic dysfunction in immortalized mouse primary hippocampal cells (HT22) expressing mutant APP (SWI/IND) mutations. Using quantitative RT-PCR, immunoblotting, biochemical methods and transmission electron microscopy methods, we assessed mutant full-length APP/C-terminal fragments and Aβ levels and mRNA and protein levels of mitochondrial dynamics, biogenesis, mitophagy and synaptic genes in mAPP-HT22 cells and mAPP-HT22 cells treated with citalopram. Increased levels of mRNA levels of mitochondrial fission genes, decreased levels of fusion biogenesis, autophagy, mitophagy and synaptic genes were found in mAPP-HT22 cells relative to WT-HT22 cells. However, mAPP-HT22 cells treated with citalopram compared to mAPP-HT22 cells revealed reduced levels of the mitochondrial fission genes, increased fusion, biogenesis, autophagy, mitophagy and synaptic genes. Our protein data agree with mRNA levels. Transmission electron microscopy revealed significantly increased mitochondrial numbers and reduced mitochondrial length in mAPP-HT22 cells; these were reversed in citalopram-treated mAPP-HT22 cells. Cell survival rates were increased in citalopram-treated mAPP-HT22 relative to citalopram-untreated mAPP-HT22. Further, mAPP and C-terminal fragments werealso reduced in citalopram-treated cells. These findings suggest that citalopram reduces mutant APP and Aβ and mitochondrial toxicities and may have a protective role of mutant APP and Aβ-induced injuries in patients with depression, anxiety and AD.

Worsening of myasthenia due to antiepileptic, antipsychotic, antidepressant, and sedative medication: An estimation of risk based on reporting frequency

BACKGROUND AND PURPOSE

Many drugs can worsen myasthenia symptoms. The clinician usually relies on cautionary lists compiled according to case reports. We intended to provide a quantitative basis for a risk comparison within the groups of antiepileptic, antidepressant, neuroleptic, and sedative drugs.

METHODS

We extracted adverse drug reaction (ADR) counts (total and myasthenia related) for drugs from these groups and calculated the reporting odds ratio (ROR) within the drug groups from the World Health Organization pharmacovigilance database. For a given drug, the ROR was increased above 1 if the proportion of myasthenia-related ADRs for this drug was larger than the same proportion for the rest of drugs in that same group. If the 95% confidence interval of ROR was >1, this was taken as a signal for a higher risk of the given drug as compared to the average of the respective group.

RESULTS

Gabapentin, sertraline, citalopram, lithium, and amisulpride had a signal for the ROR to be increased above 1 within their respective groups. Bupropion, desvenlafaxine, duloxetine, escitalopram, and paroxetine had ROR values <1. For all other drugs, 1 was within the ROR confidence interval.

CONCLUSIONS

For gabapentin and lithium, the analysis of RORs confirmed case reports and cautionary lists. For a number of antidepressant drugs associated with a higher-than-average risk, no case reports exist substantiating our results. For these drugs, special attention should be paid to this risk. The remarkable difference between citalopram and escitalopram could prompt experimental work to confirm differential influence of the two preparations on neuromuscular transmission.

The antidepressant-like activity of chiral xanthone derivatives may be mediated by 5-HT1A receptor and β-arrestin signalling

BACKGROUND

Our previous studies showed that xanthone derivatives with N-(2-methoxyphenyl)piperazine fragment have an affinity to the 5-HT1A receptor and show antidepressant-like properties in rodents. In this study, we tested three xanthone derivatives, HBK-1 (R, S) and its enantiomers, in which we increased the distance between the piperazine and xanthone fragments by using a hydroxypropoxy linker. We hypothesized that this would increase the binding to the 5-HT1A receptor and consequently, pharmacological activity.

AIMS

We aimed to assess the in vitro and in vivo pharmacological activity of the xanthone derivatives.

METHODS

We evaluated the in vitro affinity for serotonin 5-HT1A and 5-HT2A receptors and serotonin transporter. We also determined the intrinsic activity at the 5-HT1A receptor. We investigated the antidepressant-like properties and safety after acute administration (dose range: 1.25-20 mg/kg) using the forced swim, tail suspension, locomotor activity, rotarod and chimney tests in mice. We also evaluated the basic pharmacokinetic parameters.

RESULTS

Our results indicated that the compounds showed a high affinity for the 5-HT1A receptor but very weak antagonistic properties in the Ca²⁺ mobilization assay; however, they showed significant agonistic properties in the β-arrestin recruitment assay. In both behavioural tests the studied xanthone derivatives showed antidepressant-like activity. Pre-treatment with p-chlorophenylalanine or WAY-100635 abolished their antidepressant-like activity. None of the compounds caused motor impairments at antidepressant-like doses. The racemate penetrated the blood-brain barrier and had a relatively high bioavailability after intraperitoneal administration.

CONCLUSIONS

Xanthone derivatives with N-(2-methoxyphenyl)piperazine fragment and hydroxypropoxy linker show increased binding to the 5-HT1A receptor and may represent an attractive putative treatment candidate for depression.

Comparative efficacy of nine antidepressants in treating Chinese patients with post-stroke depression: A network meta-analysis

BACKGROUND

The efficacy ranking of antidepressants for post-stroke depression (PSD) has not been assessed thoroughly yet due to the lack of network meta-analyses with sufficiently large sample size.

METHODS

Seven databases including PubMed, Embase, CENTRAL, CBM, CNKI, WanFang and VIP were systematically searched for eligible randomized controlled trials (RCTs) regarding nine antidepressants (citalopram, escitalopram, venlafaxine, paroxetine, duloxetine, amitriptyline, doxepin, sertraline and mirtazapine) treating PSD patients. Stata 15 software and R software were utilized for statistical analyses.

RESULTS

51 RCTs were included in this NMA. For the key efficacy outcomes, escitalopram, mirtazapine, sertraline, citalopram, venlafaxine and paroxetine were associated with larger reduction of the Hamilton Depression Scale (HAMD) total score compared with placebo at 2 weeks. Among the nine antidepressants, escitalopram ranked the best while amitriptyline was the least helpful. At 4 weeks, citalopram ranked higher than placebo and the other eight antidepressants. In contrast, amitriptyline and doxepin were associated with minimal reduction of HAMD score. At 8 weeks, changes in HAMD score were significantly greater in nine antidepressants groups compared to placebo group. Besides, mirtazapine ranked higher than citalopram and escitalopram. At endpoint, mirtazapine was related to the highest response rate, followed by venlafaxine and escitalopram, respectively.

LIMITATIONS

No restriction was imposed on doses of every antidepressant.

CONCLUSIONS

Escitalopram was associated with a quicker relief of depression, but mirtazapine was probably the best option when it comes to the efficacy of 8-week treatment duration. Amitriptyline and doxepin were nearly the worst choice regardless of the duration (2, 4 or 8 weeks).